<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The rise of agricultural Internet of Things (IoT) technologies is transforming traditional farming into modern, sustainable agriculture through scientific advancements. This study introduces a novel fusion calibration algorithm that combines the least squares method and back propagation neural networks to enhance water measurement accuracy in agricultural settings. By developing a nonlinear function, the algorithm progressively minimizes the discrepancies between detected results and actual data until satisfactory accuracy is achieved. An irrigation experiment on wolfberry plants in City H utilizing this optimized technology demonstrated a near-perfect correlation between the automatic measurements (3.56 m/s) and the actual flow rates (3.55 m/s) recorded by a flow meter, with an error margin of just 0.282%. Furthermore, the study observed a steady increase in the water utilization coefficient in farmland irrigation from 0.54 in 2011 to 0.589 in 2020, indicating enhanced water efficiency and conservation.</p>
</abstract>

The rise of agricultural Internet of Things (IoT) technologies is transforming traditional farming into modern, sustainable agriculture through scientific advancements. This study introduces a novel fusion calibration algorithm that combines the least squares method and back propagation neural networks to enhance water measurement accuracy in agricultural settings. By developing a nonlinear function, the algorithm progressively minimizes the discrepancies between detected results and actual data until satisfactory accuracy is achieved. An irrigation experiment on wolfberry plants in City H utilizing this optimized technology demonstrated a near-perfect correlation between the automatic measurements (3.56 m/s) and the actual flow rates (3.55 m/s) recorded by a flow meter, with an error margin of just 0.282%. Furthermore, the study observed a steady increase in the water utilization coefficient in farmland irrigation from 0.54 in 2011 to 0.589 in 2020, indicating enhanced water efficiency and conservation.

Research on the application of water measuring technology in water-saving irrigation

Department of Resources Exploration and Civil Engineering

The Engineering & Technical College of Chengdu University of Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The rise of agricultural Internet of Things (IoT) technologies is transforming traditional farming into modern, sustainable agriculture through scientific...

Research on the application of water measuring technology in water-saving irrigation

Online veröffentlicht: 15. Mai 2024

Seitenbereich: -

Eingereicht: 30. Jan. 2024

Akzeptiert: 05. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1067

Schlüsselwörter
Least squares, BP algorithm, Calibration algorithm, Water quantity technology, Water-saving irrigation

© 2024 Jia Yu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the application of water measuring technology in water-saving irrigation

Online veröffentlicht: 15. Mai 2024

Seitenbereich: -

Eingereicht: 30. Jan. 2024

Akzeptiert: 05. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1067

SchlüsselwörterLeast squares, BP algorithm, Calibration algorithm, Water quantity technology, Water-saving irrigation

© 2024 Jia Yu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Least squares, BP algorithm, Calibration algorithm, Water quantity technology, Water-saving irrigation